An evolutionary and attribute-oriented ensemble classifier

Chien I. Lee, Cheng Jung Tsai, Chih Wei Ku

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

In the research area of decision tree, numerous researchers have been focusing on improving the predictive accuracy. However, obvious improvement can hardly be made until the introduction of the ensemble classifier. In this paper, we propose an Evolutionary Attribute-Oriented Ensemble Classifier (EAOEC) to improve the accuracy of sub-classifiers and at the same time maintain the diversity among them. EAOEC uses the idea of evolution to choose proper attribute subset for the building of every sub-classifier. To avoid the huge computation cost for the evolution, EAOEC uses the gini value gained during the construction of a sub-tree as the evolution basis to build the next sub-tree. Eventually, EAOEC classifier uses uniform weight voting to combine all sub-classifiers and experiments show that EAOEC can efficiently improve the predictive accuracy.

原文English
主出版物標題Computational Science and Its Applications - ICCSA 2006
主出版物子標題International Conference, Proceedings - Part II
發行者Springer Verlag
頁面1210-1218
頁數9
ISBN(列印)3540340726, 9783540340720
DOIs
出版狀態Published - 2006 一月 1
事件ICCSA 2006: International Conference on Computational Science and Its Applications - Glasgow, United Kingdom
持續時間: 2006 五月 82006 五月 11

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3981 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Other

OtherICCSA 2006: International Conference on Computational Science and Its Applications
國家United Kingdom
城市Glasgow
期間06-05-0806-05-11

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • 引用此

    Lee, C. I., Tsai, C. J., & Ku, C. W. (2006). An evolutionary and attribute-oriented ensemble classifier. 於 Computational Science and Its Applications - ICCSA 2006: International Conference, Proceedings - Part II (頁 1210-1218). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 3981 LNCS). Springer Verlag. https://doi.org/10.1007/11751588_128